Сравнение на методи
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| Скала за събития на морална травма (MIES)× | Скала за оценка на пост-демобилизационна реинтеграция× | |
|---|---|---|
| Област | Военна психология | Военна психология |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2013 | 2010 |
| Създател≠ | Nash, Marino Carper, Mills, Au, Goldsmith, & Litz | Sayer, Noorbaloochi, Frazier, & colleagues |
| Тип | Self-report | Self-report |
| Основополагащ източник≠ | Nash, W. P., Marino Carper, T. L., Mills, M. A., Au, T. A., Goldsmith, A. A., & Litz, B. T. (2013). Psychometric evaluation of the Moral Injury Events Scale. Clinical Psychology & Psychotherapy, 20(3), 249-263. DOI ↗ | Mobbs, M. C., Bonanno, G. A., & Bonanno, M. L. (2006). Beyond the myth of resilience: A prospective study of resilience and adjustment following military separation. Psychological Trauma: Theory, Research, Practice, and Policy, 2(1), 68-82. link ↗ |
| Други названия≠ | MIES | PDRS, Post-Deployment Reintegration |
| Свързани | 4 | 4 |
| Резюме≠ | The MIES is a 9-item self-report measure assessing exposure to morally injurious events in military personnel. Developed by Nash and colleagues in 2013, it captures three dimensions: perpetration (committing acts that violate personal values), betrayal (witnessing leaders/unit members violate moral standards), and observed moral violations. The MIES measures moral injury burden distinct from PTSD and is increasingly used in veteran mental health screening and treatment. | The Post-Deployment Reintegration Scale measures multidimensional adjustment difficulties experienced by service members transitioning from military to civilian life. Developed by Sayer, Noorbaloochi, and colleagues in 2010, it assesses challenges across employment, family relationships, social reintegration, identity development, and health domains. It is widely used in VA clinical settings, military transition programs, and research examining post-deployment adjustment outcomes and predictors of successful reintegration. |
| ScholarGateНабор от данни ↗ |
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